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Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud) Join our world-class team of empathetic, enthusiastic, and creative people who can work on some of the toughest big data problems.
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Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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The Clinical Data Manager / Senior Clinical Data Manager (CDM) is responsible for data management activities across one or more studies from study start-up through study closure to ensure completion per established project team goals and objectives, including oversight of the CRO DM Vendor, if the project is outsourced.
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Extensive experience with relational databases, data modeling principles, data pipeline tools and workflow engines (, SQL, DBT, Apache Airflow, AWS GLUE, Spark. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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The ideal candidate will have experience/expertise in the development, execution, and management of data collection and data quality review for clinical/health outcomes research studies, clinical trials, and/or digital health research studies.
$80 - $90 an hourFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Experience in utilizing cloud-based data governance solutions, like Open Policy Agent (OPA), Strya-DAS, Immuta, Privacera, Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern data across various cloud environments.
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Qualifications: Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master's degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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As a Principal Software Engineer, you will partner with the Engineering Director in leading technical direction, architecture and usage of Native Google Cloud technologies such as Big Query, Big Table, Data Flow, and Looker.
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A minimum of 7 years of experience with Data Management solutions such as Collibra, IBM IGC/ UG&I, Talend, or any equivalent toolset. Ensure data quality, metadata management, compliance, and consistency of master data across business systems (PLM, SAP, MES, and other systems) to achieve a scalable digital ecosystem.
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The successful candidate will provide scientific and technical overview for tissue-based methods that span sample processing, assay development, whole slide scanning, image QC, analysis, and data reporting.
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Familiarity with data management and visualization tools and collaborating with computational biology to analyze complex data sets emerging from clinical trials. Manage the design, conduct, interpretation and reporting of biomarker data/activities for pipeline assets in line with the development, regulatory and commercial strategies.
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big data jobs Title: data specialist Company: Ibm in San Mateo, CA
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